Abstract
Foot-mounted inertial measurement units (IMUs) are becoming the basis for many pedestrian positioning systems as a component of accurate indoor navigation. However, most of solutions that implement low-cost IMUs are often connected to a laptop by a wired connection which interferes with the pedestrian movements. Moreover, nobody walks carrying a laptop but a smartphone. Smartphones are attractive platforms for researchers to collect data coming from several sensors due to their small size, low-cost, and the fact that they are already carried routinely by most people. Therefore, this paper (i) describes a custom-built foot-mounted pedestrian indoor localization system based on commercially available low-cost inertial sensors connected wirelessly (via Bluetooth) to a smartphone, and (ii) demonstrates the capability of smartphones to be used as the target of a wirelessly IMU-based positioning system where raw IMU data will be processed in real time. We have tested the pedestrian tracker with commercial devices in a five floor building with reasonable results (accumulated error lower than 1%).
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References
Harle, R.: A survey of indoor inertial positioning systems for pedestrians. IEEE Communications Surveys and Tutorials 15, 1281–1293 (2013)
Gu, Y., Lo, A., Niemegeers, I.: A survey of indoor positioning systems for wireless personal networks. IEEE Communications Surveys & Tutorials 11, 13–32 (2009)
Zampella, F., Bahillo, A., Prieto, J., Jimenez, A.R., Seco, F.: Pedestrian navigation fusing inertial and rss/tof measurements with adaptive movement/measurement models: Experimental evaluation and theoretical limits. Sensors and Actuators A: Physical 203, 249–260 (2013)
Zhang, K., Zhu, M., Retscher, G., Wu, F., Cartwright, W.: Three-dimension indoor positioning algorithms using an integrated rfid/ins system in multi-storey buildings. In: Gartner, G., Rehrl, K. (eds.) Location Based Services and TeleCartography II - From Sensor Fusion to Context Models. Lecture Notes in Geoinformation and Cartography, pp. 373–386. Springer, Heidelberg (2008)
Ruiz, A.R.J., Granja, F.S., Honorato, J.C.P., Rosas, J.I.G.: Accurate pedestrian indoor navigation by tightly coupling foot-mounted imu and rfid measurements. IEEE T. Instrumentation and Measurement 61, 178–189 (2012)
Fischer, C., Sukumar, P.T., Hazas, M.: Tutorial: Implementing a pedestrian tracker using inertial sensors. IEEE Pervasive Computing 12, 17–27 (2013)
Analog Devices: Digital Accelerometer. ADXL345 Datasheet, pp. 1–40 (2013)
InvenSense Inc.: Digital Gyroscope. ITG-3200 Product Specification, pp. 1–40 (2010)
Honeywell International Inc.: Digital Compass. HMC5883L Datasheet, pp. 1–20 (2010)
GitHub: Tutorial: Building an AHRS using the SparkFun “9DOF Razor IMU” or “9DOF Sensor Stick”. HMC5883L Datasheet (accessed May 2014)
Nilsson, J.O., Skog, I., Handel, P.: Performance characterisation of foot-mounted zupt-aided inss and other related systems. In: International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–7. IEEE (2010)
El-Sheimy, N., Niu, X.: The Promise of MEMS to the Navigation Community. Inside GNSS, 6+ (2007)
Munoz, D., Heirich, O., Khinder, M., Robertson, P.: Optimal sampling frequency and bias error modeling for foot-mounted IMUs. In: International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–9. IEEE (2013)
Faulkner, W., Alwood, R., Taylor, D., Bohlin, J.: Altitude accuracy while tracking pedestrians using a boot-mounted IMU. In: Position Location and Navigation Symposium (PLANS), pp. 90–96. IEEE (2010)
Ladetto, Q., Seeters, J., Sokolowski, S., Sagan, Z., Merminod, B.: Digital Magnetic Compass and Gyroscope for Dismounted Soldier Position and Navigation. Sensors and Electronics Technology Panel, NATO Research and Technology Agency Sensors, pp. 1–15 (2002)
Stirling, R.: Development of a Pedestrian Navigation System Using Shoe Mounted Sensors. University of Alberta, Department of Mechanical Engineering (2004)
Foxlin, E.: Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput. Graph. Appl. 25, 38–46 (2005)
Feliz, R., Zalama, E., Garcia-Bermejo, G., Bohlin, J.: Pedestrian Tracking Using Inertial Sensors. Journal Physical Agents 3, 35–43 (2009)
Jimenez, A.R., Granja, F.S., Prieto, J.C., Rosas, J.I.G.: Indoor pedestrian navigation using an ins/ekf framework for yaw drift reduction and a foot-mounted imu. In: Workshop on Positioning, Navigation and Communication, pp. 135–143. IEEE (2010)
Borenstein, J., Ojeda, L.: Heuristic drift elimination for personnel tracking systems. Journal of Navigation 63, 591–606 (2010)
Jimenez, A., Seco, F., Zampella, F., Prieto, J., Guevara, J.: Improved Heuristic Drift Elimination (iHDE) for pedestrian navigation in complex buildings. In: International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–8. IEEE (2011)
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Bahillo, A., Arambarri, A., Angulo, I., Onieva, E., Elejoste, P., Perallos, A. (2014). Implementing a Pedestrian Tracker Using Low-Cost Bluetooth Inertial Sensors. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_1
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DOI: https://doi.org/10.1007/978-3-319-13102-3_1
Publisher Name: Springer, Cham
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